Anup Shirgaonkar
Executive Director, Applied AI ML at JPMorganChase
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAnup Shirgaonkar is an AI/ML leader with 15 years of experience translating advanced research into production at scale, currently serving as Executive Director, Applied AI/ML at JPMorgan Chase after leading Azure Machine Learning teams at Microsoft. His background spans finance, energy markets, and big tech—building ML products for trading and cloud AI, founding an ML consultancy, and leading Alexa NLU research at Amazon. Trained as a computational physicist with a PhD from Stanford, he combines rigorous high-performance computing research with pragmatic product delivery and cloud-native engineering. Known for forming high-performing cross-functional teams, he focuses on responsible and generative AI, AutoML, and bringing state-of-the-art models into business impact. A less obvious strength is his track record of mentoring and developing leaders who bridge deep science and scalable software in enterprise settings.
5 years of coding experience
12 years of employment as a software developer
Indian Institute of Technology BombayPh.D. Mechanical and Aerospace Eng (Computational Physics focus), Ph.D. Mechanical and Aerospace Eng (Computational Physics focus) at Stanford University
English
Github Skills (14)
azure10
azure-machine-learning10
data-science9
machine-learning9
ml8
notebook6
sdk6
python5
deep-learning5
previews5
microsoft3
tensorflow3
automl1
microsoft-azure1
Programming languages (2)
Github contributions (5)
Azure/automl-testdataset-preview
Apr 2021 - Apr 2021
Preview: Test dataset support in Azure AutoML
Contributions:3 reviews, 2 comments in 1 day
datasetautomlazure
Azure/azureml-previews
Mar 2022 - Mar 2022
Azure Machine Learning previews
Contributions:2 reviews, 5 comments in 1 day
machine-learningazure-machine-learningazureazuremlpreviews
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